| Tensor Networks for Probabilistic Sequence Modeling | Mar 2, 2020 | Language ModellingTensor Networks | CodeCode Available | 1 |
| Supervised Learning for Non-Sequential Data: A Canonical Polyadic Decomposition Approach | Jan 27, 2020 | Recommendation SystemsTensor Networks | CodeCode Available | 0 |
| A Multi-Scale Tensor Network Architecture for Classification and Regression | Jan 22, 2020 | ClassificationGeneral Classification | —Unverified | 0 |
| Algorithms for Tensor Network Contraction Ordering | Jan 15, 2020 | Tensor Networks | CodeCode Available | 1 |
| Learning high-dimensional probability distributions using tree tensor networks | Dec 17, 2019 | Model SelectionTensor Networks | —Unverified | 0 |
| Expressive power of tensor-network factorizations for probabilistic modeling | Dec 1, 2019 | Tensor Networks | CodeCode Available | 1 |
| Tensor-based algorithms for image classification | Oct 4, 2019 | BIG-bench Machine LearningClassification | CodeCode Available | 0 |
| Compensating Supervision Incompleteness with Prior Knowledge in Semantic Image Interpretation | Oct 1, 2019 | ObjectRelation | CodeCode Available | 1 |
| The Neural State Pushdown Automata | Sep 7, 2019 | Incremental LearningTensor Networks | —Unverified | 0 |
| Automatic Differentiation for Complex Valued SVD | Sep 4, 2019 | Tensor Networks | —Unverified | 0 |
